TY  - BOOK
AU  - Smith,Graham M.
AU  - Ieno,Elena N.
AU  - Saveliev,Anatoly
AU  - Walker,Neil J.
AU  - Zuur,Alain F.
TI  - Mixed effects models and extensions in ecology with R
SN  - 978-0-387-87457-9
U1  - 577.7 
PY  - 2009///
CY  - New York
PB  - Springer
KW  - BIOLOGÍA
KW  - MÉTODOS ESTADÍSTICOS
KW  - 577.7 - Ecología marina
N1  - Incluye Referencias, Incluye indice
N2  - Contiene: Limitations of linear regression applied on ecological data. Things are not always linear; additive modelling. Dealing with heterogeneity. Mixed effects modelling for nested data. Violation of independence. Meet the exponential family. GLM and GAM for count data. GLM and GAM for absence-presence and proportional data. Zero-truncated and zero-inflated models for count data. Generalised estimation equations. GLMM and GAMM. Estimating trends for antarctic birds in relation. Large-scale impacts of land-use change in a scottish, farming catchment. Negative binomial GAM and GAMM to analyse amphibian roadkills. Addtive mixed modelling applied on deep-sea pelagic bioluminescent organisms. Additive mixed modelling applied on phytoplankton time series data. Mixed effects modelling applied on american foulbrood affecting honey bees larvae. Three-way nested data for age determination techniques applied to cetaceans. GLMM applied on the spatial distribution of koalas in a fragmented landscape. A comparison of GLM, GEE and GLMM aplied to badger activity data. Incorporating temporal correlation in seal abundance data with MCMC. Required pre-knowledge: a linear regression and additive modelling example
ER  -